Lead Data Analyst at UnitedHealth Group Canada

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, SQL, People Management, Agile, Data Warehouse, Performance Tuning, BI Visualization, Relational Databases, Python, R, Cloud Platforms, Machine Learning, Artificial Intelligence, Statistical Analysis, Problem Solving, Communication

Industry

Hospitals and Health Care

Description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Helps business users create optimal business requirements by exploring data and analytic alternatives and guiding users to the most cost-effective and efficient approach to meeting their needs. Translates internal or external client business requirements into actionable instructions for meeting client needs Designs analytics (reports, dashboards, models) to respond to very complex requests. Develops advanced quantitative approaches (drawing on a range of methodologies) to address client needs Lead or manage cross functional Teams supporting different Business teams to achieve Business Objectives through technological interventions Performs strategic data mining and research to identify opportunities for improvement and otherwise support business needs Contribute to all aspects of planning, analysis, design, and development of data management and analytics solutions Use SAS (and SQL or other tools) to manipulate, manage, and analyze complex data for data quality analysis and other analytic purposes Conducts complex statistical analyses (e.g., regression analysis, predictive modeling) Ensures accuracy, data integrity, and face validity of all work Writes reports with charts and graphs; presents to internal and client leadership; and summarizes findings and recommendations for technical or clinical and non-technical or non-clinical audiences, as appropriate Ensures all analyses use high-quality data. Develops a solid understanding of data sources Demonstrates the ability to multitask and manage many simultaneous projects and last-minute emergencies to meet deadlines while still maintaining solid attention to detail Creates documentation (such as code detail, report specifications, narrative backup, and metadata) for all outputs. Reviews documentation produced by junior analysts Manage client and program engagements using governance models Communicate results as well as their uncertainty and limitations effectively to technical and non-technical stakeholders Acquire understanding of US Healthcare domain Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: 10+ years of experience in data analytics, Data exploration and SQL 4+ years of hands-on experience in people management and supporting multiple teams Work experience in Agile/Scrum Methodology and Data Warehouse Concepts Deep understanding of performance tuning Exposure to BI visualization tools (e.g., Tableau, MS Excel, Power BI) Deep knowledge of relational databases, database structures and data analysis and hands-on in computer programming in Python, R or similar programming language Knowledge of Azure, AWS or other cloud platforms Working knowledge on Machine Learning and Artificial Intelligence would be good to have Understanding of US healthcare Domain Advanced proficiency with RDBMS, SQL, Snowflake and ability to create complex SQL queries Proficiency in Microsoft tools including Word, Excel, and PowerPoint Demonstrated ability to lead team of individuals to drive solutions to Business Problems Demonstrated ability to learn new technologies quickly Demonstrated ability to work well under pressure in a fast-paced environment while demonstrating good level of maturity Proven solid mathematical skills to help collect, measure, organize, and analyze data Proven professional, service oriented, Proactive, and flexible Proven excellent interpersonal and team skills Proven excellent written and oral communication skills Proven excellent problem-solving abilities At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

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Responsibilities

The Lead Data Analyst will help business users create optimal business requirements and design complex analytics solutions. They will also manage cross-functional teams and conduct strategic data mining to support business needs.